IDEAS home Printed from https://ideas.repec.org/a/taf/lstaxx/v53y2024i11p3920-3939.html
   My bibliography  Save this article

Berry-Esséen bounds and almost sure CLT for the quadratic variation of a class of Gaussian process

Author

Listed:
  • Yong Chen
  • Zhen Ding
  • Ying Li

Abstract

We propose a condition which is valid for a class of continuous Gaussian processes that may fail to be self-similar or have stationary increments. Some examples include the sub-fractional Brownian motion and the bi-fractional Brownian motion and the sub-bifractional Brownian motion. Under this assumption, we show an upper bound for the difference between the inner product associated with a class of Gaussian process and that associated with the fractional Brownian motion. This inequality relates a class of Gaussian processes to the well studied fractional Brownian motion, which characterizes their relationship quantitatively. As an application, we obtain the optimal Berry-Esséen bounds for the quadratic variation when H∈(0,23] and the upper Berry-Esséen bounds when H∈(23,34]. As a by-product, we also show the almost sure central limit theorem (ASCLT) for the quadratic variation when H∈(0,34]. The results in the present paper extend and improve those in the literature.

Suggested Citation

  • Yong Chen & Zhen Ding & Ying Li, 2024. "Berry-Esséen bounds and almost sure CLT for the quadratic variation of a class of Gaussian process," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 53(11), pages 3920-3939, June.
  • Handle: RePEc:taf:lstaxx:v:53:y:2024:i:11:p:3920-3939
    DOI: 10.1080/03610926.2023.2167055
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03610926.2023.2167055
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/03610926.2023.2167055?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:lstaxx:v:53:y:2024:i:11:p:3920-3939. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/lsta .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.